Web: http://arxiv.org/abs/2206.11087

June 23, 2022, 1:11 a.m. | Valerio De Caro, Claudio Gallicchio, Davide Bacciu

cs.LG updates on arXiv.org arxiv.org

We propose a novel algorithm for performing federated learning with Echo
State Networks (ESNs) in a client-server scenario. In particular, our proposal
focuses on the adaptation of reservoirs by combining Intrinsic Plasticity with
Federated Averaging. The former is a gradient-based method for adapting the
reservoir's non-linearity in a local and unsupervised manner, while the latter
provides the framework for learning in the federated scenario. We evaluate our
approach on real-world datasets from human monitoring, in comparison with the
previous approach …


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